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Learning Goal
Part of: Summarize, represent, and interpret data on a single count or measurement variable — 2 of 4 cluster items
Compare center and spread of data sets
HSS.ID.A.2
**HSS.ID.A.2**: Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.
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HSS.ID.A.2: Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.
What you'll learn
- Compute the mean, median, interquartile range (IQR), and standard deviation of a data set (by hand for small sets, with technology for large sets)
- Judge the shape of a distribution from its plot and select the appropriate measures of center and spread
- Explain why the median and IQR are resistant to outliers while the mean and standard deviation are not
- Compare two or more data sets by reporting matched, shape-appropriate statistics for center and for spread
- Write a contextual comparison that addresses both center and spread, not center alone
Prerequisites
Slides
Interactive presentations perfect for visual learners • 2 slide decks
Slide Video
Watch narrated slides play like a video lesson • Narrated slide playback